New Executive Certificate in Data Literacy and Evidence Building

New York University’s Robert F. Wagner Graduate School of Public Service, the University of Maryland’s Social Data Science Center, and Accenture are delighted to announce a new non-credit Executive Certificate in Data Literacy and Evidence Building in conjunction with the Kentucky Center for Statistics and the Coleridge Initiative. The new first-of-its-kind Certificate draws on almost a decade’s successful experience to train participants in how to work with synthesized real world data drawn from different sources to produce new insights and products. 

The Executive Certificate trains participants in valuable data literacy skills and how to apply best practices when working with data. Participants will learn how to scope a policy problem, understand the data generation process, how to manage, combine, and structure data, how to create, measure and analyze the effect of different data decisions on key measures such as non-completion and job quality measures. Participants will also learn the basics of machine learning and visualization as well as inference, bias, privacy, and ethics issues. The specific use case is focused on the integration of education and workforce data using the Multi-State Education Dashboard as a concrete example. The focus will be on understanding the impact of COVID-19 on the labor market in a way that can be transferred to a wide range of policy contexts.

Lead Instructors

Dr. Julia Lane (NYU), Dr. Frauke Kreuter (UMD), Dr. Lan Guan (Accenture)

Who should take it?

This training program was created for federal, state, and local government agency staff, graduate students in public policy, and practitioners who seek a high value credential. Program participants are expected to use their knowledge to inform executive decision making at all levels of government.

Application Process

1.  Submit your CV
2.  Submit a letter describing your hands-on data experience and how your participation will serve the public good through contributing to the mission of your agency
3.  Submit a supporting letter from your supervisor (or instructor) describing how your participation will serve the public good, as well as their assessment of your hands-on data experience. 

Seats for the course will be filled on a first come first served basis. Applications are open now through August 11.

Prerequisites

Some hands on data experience, such as managing or supervising data collection and analysis, developing data products and tools, or presenting and using data products to inform evidence-based policy.

Want to Learn more?

Watch our informational webinar and see the full presentation which includes information on curriculum and program structure.